May 2017 - December 2017
Supervisors: Dr. Shamim Ahmed and Dr. Moushumi Sharmin, Western Washington University.
In this project, I participated in a systematic literature review and qualitative coding of scholarly articles on smart technologies (wearables, smartphones, VR devices etc.) designed to support autistic children. We formulated a set of design implications to guide the development of autism support smart technologies.
Outcome: CHI 2018
August 2014 - September 2017
Supervisor: Dr. Tanzima Hashem, BUET.
We proposed a novel secret sharing approach to compute the probability of a patient to develop a specific disease without revealing sensitive data (patient's genome, name of the disease, disease marker of medical center, and the result of the query i.e. chances of the disease) to dishonest adversaries and ensuring authentication of the genomic data. We proved the practicality of our system via extensive experiments using real human genome datasets.
Outcome: COMPSAC 2018 (Paper), GHC 2015 (poster)
April 2016 - October 2017
I co-designed a self-monitoring mobile app, PurpleAid, to handle common health hazards of women. Additionally, we quantatively analyzed the impact of social networking on postpartum depression (PPD) in Bangladeshi Women. We conducted an online survey to learn about people's awareness about PPD in Bangladesh and proposed several design choices for tailoring social networking sites and apps to provide better support to mothers facing PPD.
Outcome: ICCIT 2017, MediTec 2016
December 2015 - September 2017
We designed SafeTeens, an SMS-based system for low-literate parents to monitor online activities of children. We also designed child sexual abuse prevention system, Sushoishob, consisting of a smartwatch and an educational app. The smartwatch is used for child tracking and emergency communication purposes. The smartphone app contains educational videos and games for the child and child sexual abuse prevention tips for the parent.
Outcome: GHC 2016 (poster)
January 2015 - June 2016
We designed a novel health support system for low-to-moderate income people which almost accurately diagnoses diseases by measuring five vital signs of body with a biometric data acquisition device and taking symptoms as input from the users into a mobile application.
Outcome: ICCIT 2016
January 2014 - June 2017
Supervisor: Dr. Shahina Ferdous, Software Engineer, Microsoft, USA
We designed a speech therapy system, SpeechAid, to improve the speaking ability of patients having speech and language disorders. Extended work on this project include automated virtual agent and peer-to-peer feedback.
Outcome: GHCI 2014 (best technical poster)